| Literature DB >> 35468794 |
Rie Akamatsu1, Nozomi Tonsho2, Mika Saiki2, Mihono Komatsu2.
Abstract
BACKGROUND: People who consume high amounts of ready-to-eat meals have a higher body mass index than those who do not. However, if customers adhere to eating proper amounts without restaurants reducing the portions, plate waste may occur. It is therefore incumbent upon restaurants to serve suitable meal portions to customers in the interests of their health and the environment. This study examined whether restaurants support Japan's national goals of minimising food loss and waste and maintaining healthy body weight. Additionally, the characteristics of restaurant managers who display a willingness to meet these goals, were identified.Entities:
Keywords: Food waste; Obesity; Public policy; Restaurants; Sustainable development
Mesh:
Year: 2022 PMID: 35468794 PMCID: PMC9040262 DOI: 10.1186/s12889-022-13274-x
Source DB: PubMed Journal: BMC Public Health ISSN: 1471-2458 Impact factor: 4.135
Characteristics of the restaurant managers
| Total | |
|---|---|
| Age range (years) | |
| 20–29 | 3 (0.8) |
| 30–39 | 41 (10.6) |
| 40–49 | 126 (32.6) |
| 50–59 | 141 (36.4) |
| ≥ 60 | 76 (19.6) |
| Sex | |
| Female | 101 (26.1) |
| Male | 286 (73.9) |
| Experience of working in the restaurant industry (years) | |
| < 5 | 32 (8.3) |
| 5–9 | 59 (15.2) |
| 10–14 | 43 (11.1) |
| 15–19 | 34 (8.8) |
| ≥ 20 | 219 (56.6) |
| Size of the company managed a | |
| Small | 337 (87.1) |
| Medium/Large | 50 (12.9) |
| Refer to SDGs for running business | |
| Refer | 11 (2.8) |
| Want to refer but not doing now | 21 (5.4) |
| Know about SDGs but do not plan to use them | 24 (6.2) |
| Heard the name but do not know the content | 42 (10.9) |
| Never heard about it | 289 (74.7) |
| Experience of studying nutrition | |
| Yes | 137 (35.4) |
| No | 250 (64.6) |
| Involvement of dietitians in the store or company b | |
| Yes | 25 (6.6) |
| No | 356 (93.4) |
N = 387; SDGs Sustainable Development Goals
aSmall, fewer than five employees; medium, less than 50-million-yen investment or capital or fewer than 100 employees; large, more than 50-million-yen investment or capital or more than 100 employees [22]
bn = 381
Characteristics of the restaurants
| Total | |
|---|---|
| Region of restaurant location in Japana | |
| Hokkaido-Tohoku | 51 (13.2) |
| Kanto | 109 (28.2) |
| Chubu | 71 (18.3) |
| Kinki | 95 (24.5) |
| Chugoku-Shikoku | 27 (7.0) |
| Kyushu | 34 (8.8) |
| Type of restaurantb | |
| Casual dining | 83 (21.4) |
| Specialised restaurant | 113 (29.2) |
| Fast food | 83 (21.4) |
| Cafe | 77 (19.9) |
| Pub/bar | 31 (8.0) |
| Number of seatsc | |
| < 9 | 35 (9.1) |
| 10–19 | 110 (28.5) |
| 20–29 | 87 (22.5) |
| 30–39 | 65 (16.8) |
| 40–49 | 26 (6.7) |
| ≥ 50 | 63 (16.3) |
| Expenditure per customer (yen)d | |
| ≤ 999 | 214 (55.4) |
| 1000–1499 | 115 (29.8) |
| ≥ 1500 | 57 (14.8) |
| Frequency of customer visits | |
| Almost everyday | 38 (9.8) |
| 2–3 days per week | 106 (27.4) |
| 1 day per week | 89 (23.0) |
| 2–3 days per month | 61 (15.8) |
| 1 day per month | 51 (13.2) |
| Fewer than 1 day per month | 42 (10.9) |
N = 387
aThe six regions include the following prefectures: Hokkaido-Tohoku (Hokkaido, Aomori, Iwate, Miyagi, Akita, Yamagata, Fukushima), Kanto (Ibaragi, Tochigi, Gunma, Saitama, Chiba, Tokyo, Kanagawa), Chubu (Niigata, Toyama, Ishikawa, Fukui, Yamanashi, Nagano, Gifu, Shizuoka, Aichi), Kinki (Mie, Shiga, Kyoto, Osaka, Hyogo, Nara, Wakayama), Chugoku-Shikoku (Tottori, Shimane, Okayama, Hiroshima, Yamaguchi, Tokushima, Kagawa, Ehime, Kochi), Kyushu (Fukuoka, Saga, Nagasaki, Oita, Kumamoto, Miyazaki, Kagoshima, Okinawa)
bCasual dining includes ordinary restaurants, except speciality restaurants. Specialised restaurants are restaurants with one specialised menu, such as sushi or tempura, or other international cuisines such as Italian. Fast food includes Japanese fast food such as ramen, udon, and noodles. Cafe denotes shops that serve not only coffee but also light meals
cn = 386
dn = 386; (1000 yen = USD 9.07 as of 20 June 2021)
Fig. 1Readiness to take action to achieve the national goals. N = 387
Combinations of readiness to take action to achieve national goals
| Minimise food waste | |||
|---|---|---|---|
| Higher readiness | Lower readiness | ||
| Maintain healthy weight | Higher readiness ( | 113 (29.2) | 13 (3.4) |
| Lower readiness ( | 123 (31.8) | 138 (35.7) | |
N = 387; n (%), percentage of the total number
‘Higher readiness’ includes ‘already started taking action’, ‘will plan to take action’, and ‘have not planned yet but want to take action’. ‘Lower readiness’ includes ‘difficult for us to take action’ and ‘this goal is not related to us’
Comparison of the characteristics of restaurant managers by readiness to take action a
| Both higher | High & low | Both lower | ||
|---|---|---|---|---|
| Age range (years) | ||||
| 20–29 | 0 (0.0) | 1 (0.7) | 2 (1.4) | 0.278 |
| 30–39 | 18 (15.9) | 15 (11.0) | 8 (5.8) | |
| 40–49 | 36 (31.9) | 45 (33.1) | 45 (32.6) | |
| 50–59 | 42 (37.2) | 47 (34.6) | 52 (37.7) | |
| ≥ 60 | 17 (15.0) | 28 (20.6) | 31 (22.5) | |
| Sex | ||||
| Female | 26 (23.0) | 40 (29.4) | 35 (25.4) | 0.504 |
| Male | 87 (77.0) | 96 (70.6) | 103 (74.6) | |
| Experience of working in the restaurant industry (years) | ||||
| < 5 | 12 (10.6) | 10 (7.4) | 10 (7.2) | 0.329 |
| 5–9 | 15 (13.3) | 22 (16.2) | 22 (15.9) | |
| 10–14 | 14 (12.4) | 19 (14.0) | 10 (7.2) | |
| 15–19 | 14 (12.4) | 7 (5.1) | 13 (9.4) | |
| ≥ 20 | 58 (51.3) | 78 (57.4) | 83 (60.1) | |
| Size of company managedb | ||||
| Small | 87 (77.0) | 126 (92.6) | 124 (89.9) | 0.001 |
| Medium/large | 26 (23.0) | 10 (7.4) | 14 (10.1) | |
| Refer to SDGs for running business | ||||
| Refer | 8 (7.1) | 3 (2.2) | 0 (0.0) | <.001 |
| Want to refer but not doing now | 17 (15.0) | 4 (2.9) | 0 (0.0) | |
| Know about SDGs but do not plan to use them | 15 (13.3) | 3 (2.2) | 6 (4.3) | |
| Heard the name but do not know the content | 14 (12.4) | 16 (11.8) | 12 (8.7) | |
| Never heard about it | 59 (52.2) | 110 (80.9) | 120 (87.0) | |
| Experience of studying nutrition | ||||
| Yes | 53 (46.9) | 43 (31.6) | 41 (29.7) | < 0.001 |
| No | 60 (53.1) | 93 (68.4) | 97 (70.3) | |
| Involvement of dietitians in the restaurant or company c | ||||
| Yes | 15 (13.3) | 4 (3.0) | 6 (4.5) | 0.002 |
| No | 98 (86.7) | 130 (97.0) | 128 (95.5) | |
N = 387; SDGs Sustainable Development Goals
a‘Both higher’ indicates higher readiness to take action toward both minimising food waste and maintaining healthy weight. ‘High & low’ indicates higher readiness to take action toward either minimising food waste or maintaining healthy weight and lower readiness on the other variable. ‘Both lower’ indicates lower readiness to take action toward both minimising food waste and maintaining healthy weight
bSmall, fewer than five employees; medium, less than 50-million-yen investment or capital or less than 100 employees; large, more than 50-million-yen investment or capital or more than 100 employees [22]
cn = 381
Odds ratios for characteristics of restaurant managers with higher readiness to take action toward both national goalsa
| Readiness to take action | Univariate regression | Multiple regressionc | ||
|---|---|---|---|---|
| Otherb | Both higherb | |||
| Experience of working in the restaurant industry (years) | ||||
| < 20 | 113 (41.2) | 55 (48.7) | 1 | 1 |
| ≥ 20 | 161 (58.8) | 58 (51.3) | 0.71 (0.43–1.16) | 0.62 (0.36–1.06) |
| Size of company managed | ||||
| Small | 250 (91.2) | 87 (77.0) | 1 | 1 |
| Medium/Large | 24 (8.8) | 26 (23.0) | 2.96 (1.60–5.51) ** | 2.27 (1.11–4.62) * |
| Refer to SDGs for running businessd | ||||
| Never heard about it | 230 (83.9) | 59 (52.2) | 1 | 1 |
| Other | 44 (16.1) | 54 (47.8) | 4.76 (2.90–7.83) *** | 4.06 (2.39–6.88) *** |
| Experience of studying nutrition | ||||
| No | 190 (69.3) | 60 (53.1) | 1 | 1 |
| Yes | 84 (30.7) | 53 (46.9) | 1.98 (1.25–3.13) ** | 1.38 (0.82–2.33) |
| Involvement of dietitians in the store or companye | ||||
| No | 258 (96.3) | 98 (86.7) | 1 | 1 |
| Yes | 10 (3.7) | 15 (13.3) | 3.79 (1.60–8.95) ** | 1.63 (0.60–4.42) |
OR, odds ratio, CI confidence interval
N = 387; n (%); *p < 0.05, ** p < 0.01, ***p < 0.001
aDependent variable, readiness to take action (0 = other); independent variable, the characteristics of the restaurants’ managers. All models adjusted for age, sex, and the restaurants’ location
b‘Both higher’ indicates higher readiness to take action toward both minimising food waste and maintaining healthy weight. ‘Other’ indicates readiness to take action toward either minimising food waste or maintaining healthy weight and lower readiness toward the other variable, or lower readiness toward both
cMultiple regression: all variables were entered together as independent variables using forced entry
dSDGs, Sustainable Development Goals; others, heard the name but do not know the content, know about it but no plan to use it, want to refer to it but not now
en = 381